Question

When python list better than numpy array

Answer 1

Python Lists
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Python list is nothing but a datatype available in Python which can be written as a list of comma-separated values
between square brackets.

Creating a list is as simple as putting different comma-separated values between square brackets. For example
list1 = [1, 2, 3, 4, 5 ];

Numpy Array
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NumPy arrays are a bit like Python lists, but still very much different at the same time.
A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers.

Python list are made for heterogeneous types while numpy.Array works on homogeneous types.
python list better than numpy array while adding and removing elements .

Python loop and access to individual items in a numpy array are slow. Use vectorized operations instead:
import numpy as np
x = np.arange(1000000).cumsum()